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Add cardinality limiting to the metric SDK as an experimental feature #4457

Merged
merged 23 commits into from
Dec 19, 2023
Merged

Add cardinality limiting to the metric SDK as an experimental feature #4457

merged 23 commits into from
Dec 19, 2023

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MrAlias
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@MrAlias MrAlias commented Aug 19, 2023 •
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Part of #4095

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codecov bot commented Aug 19, 2023 •
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Codecov Report

Merging #4457 (41f950b) into main (cb8cb2d) will increase coverage by 0.0%.
The diff coverage is 100.0%.

Additional details and impacted files

Impacted file tree graph

@@          Coverage Diff          @@
##            main   #4457   +/-   ##
=====================================
  Coverage   82.2%   82.2%           
=====================================
  Files        225     226    +1     
  Lines      18315   18342   +27     
=====================================
+ Hits       15058   15085   +27     
  Misses      2975    2975           
  Partials     282     282
Files Coverage Δ
sdk/metric/internal/aggregate/aggregate.go 100.0% <100.0%> (ø)
...metric/internal/aggregate/exponential_histogram.go 96.2% <100.0%> (+<0.1%) ⬆️
sdk/metric/internal/aggregate/histogram.go 100.0% <100.0%> (ø)
sdk/metric/internal/aggregate/lastvalue.go 100.0% <100.0%> (ø)
sdk/metric/internal/aggregate/limit.go 100.0% <100.0%> (ø)
sdk/metric/internal/aggregate/sum.go 100.0% <100.0%> (ø)
sdk/metric/internal/x/x.go 100.0% <ø> (ø)
sdk/metric/pipeline.go 86.4% <100.0%> (+0.2%) ⬆️

@dmathieu dmathieu mentioned this pull request Sep 12, 2023
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@MrAlias MrAlias mentioned this pull request Nov 13, 2023
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MrAlias added 11 commits December 6, 2023 11:02
@MrAlias
Merge branch 'main' into cardinality-limit-x
07dc9b9
@MrAlias
Replace limitAttr fn with limiter type
62311eb 
The Attribute method is still inlinable.
@MrAlias
Use x.CardinalityLimit directly
b53c71c
@MrAlias
Simplify limiter test
92efe65
@MrAlias
Add limiter benchmark
27df16c
@MrAlias
Document the AggregationLimit field
c2d5246
@MrAlias
Test sum limits
426b29d
@MrAlias
Test limit for last value
3a59317
@MrAlias
Test histogram limit
0354e68
@MrAlias
Refactor expo hist test to use existing fixtures
f1f3be7 
The tests for the exponential histogram create their own testing
fixtures. There is nothing these new fixtures do that cannot already be
done with the existing testing fixtures used by all the other aggregate
functions. Unify the exponential histogram testing to use the existing
fixtures.
@MrAlias
Test the ExponentialHistogram limit
4874fcb
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@MrAlias MrAlias mentioned this pull request Dec 6, 2023
Merged
@MrAlias MrAlias marked this pull request as ready for review December 9, 2023 16:28
dashpole
dashpole approved these changes Dec 11, 2023
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sdk/metric/internal/aggregate/limit.go Outdated Show resolved Hide resolved
@MadVikingGod
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I'm concerned about the performance of this patch, as it potentially adds another map lookup in the hot path.

Have you checked that it doesn't have an impact on the disabled path at least, and what the effect might be on the eventual default config (e.g., large enough that all attributes will fit)

Other than that, I think this will work.

@MrAlias
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MrAlias commented Dec 15, 2023

I'm concerned about the performance of this patch, as it potentially adds another map lookup in the hot path.

Given a map lookup is on the order of 10s of nanoseconds I'm not sure the overhead of this operation is going to be too impactful. I'm also not sure how to implement this feature in a more performant way. At some level we will need to determining from some saved memory location if the attributes have been seen. Did you have an alternate proposal?

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MrAlias commented Dec 15, 2023 •
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Have you checked that it doesn't have an impact on the disabled path at least

Given this is gated with a conditional the expected performance impact is a slight. With branch prediction being a thing, I imagine this is going to be negligible.

Targeted benchmarking have validated this assumption, i.e.

goos: linux
goarch: amd64
pkg: go.opentelemetry.io/otel/sdk/metric/internal/aggregate
cpu: Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz
                                                      │   old.txt   │              new.txt               │
                                                      │   sec/op    │   sec/op     vs base               │
ExponentialHistogram/Int64/Cumulative/100/Measure-8     15.47µ ± 4%   14.71µ ± 2%  -4.93% (p=0.000 n=10)
ExponentialHistogram/Int64/Delta/100/Measure-8          15.28µ ± 5%   15.38µ ± 3%       ~ (p=0.739 n=10)
ExponentialHistogram/Float64/Cumulative/100/Measure-8   15.80µ ± 3%   14.85µ ± 4%  -6.00% (p=0.002 n=10)
ExponentialHistogram/Float64/Delta/100/Measure-8        16.03µ ± 5%   14.90µ ± 2%  -7.05% (p=0.000 n=10)
Histogram/Int64/Cumulative/100/Measure-8                12.54µ ± 3%   12.10µ ± 4%  -3.49% (p=0.029 n=10)
Histogram/Int64/Delta/100/Measure-8                     12.80µ ± 4%   12.37µ ± 3%       ~ (p=0.063 n=10)
Histogram/Float64/Cumulative/100/Measure-8              12.45µ ± 5%   11.97µ ± 3%  -3.82% (p=0.015 n=10)
Histogram/Float64/Delta/100/Measure-8                   12.04µ ± 3%   12.05µ ± 3%       ~ (p=0.912 n=10)
Sum/Int64/Cumulative/100/Measure-8                      10.62µ ± 5%   10.46µ ± 5%       ~ (p=0.481 n=10)
Sum/Int64/Delta/100/Measure-8                           10.62µ ± 3%   10.87µ ± 3%       ~ (p=0.075 n=10)
Sum/Float64/Cumulative/100/Measure-8                    10.81µ ± 2%   10.93µ ± 4%       ~ (p=0.436 n=10)
Sum/Float64/Delta/100/Measure-8                         10.56µ ± 6%   10.67µ ± 3%       ~ (p=0.853 n=10)
geomean                                                 12.75µ        12.48µ       -2.12%

                                                      │   old.txt    │               new.txt               │
                                                      │     B/op     │    B/op     vs base                 │
ExponentialHistogram/Int64/Cumulative/100/Measure-8     0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
ExponentialHistogram/Int64/Delta/100/Measure-8          0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
ExponentialHistogram/Float64/Cumulative/100/Measure-8   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
ExponentialHistogram/Float64/Delta/100/Measure-8        0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Int64/Cumulative/100/Measure-8                0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Int64/Delta/100/Measure-8                     0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Float64/Cumulative/100/Measure-8              0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Float64/Delta/100/Measure-8                   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Int64/Cumulative/100/Measure-8                      0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Int64/Delta/100/Measure-8                           0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Float64/Cumulative/100/Measure-8                    0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Float64/Delta/100/Measure-8                         0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
geomean                                                            ²               +0.00%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean

                                                      │   old.txt    │               new.txt               │
                                                      │  allocs/op   │ allocs/op   vs base                 │
ExponentialHistogram/Int64/Cumulative/100/Measure-8     0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
ExponentialHistogram/Int64/Delta/100/Measure-8          0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
ExponentialHistogram/Float64/Cumulative/100/Measure-8   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
ExponentialHistogram/Float64/Delta/100/Measure-8        0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Int64/Cumulative/100/Measure-8                0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Int64/Delta/100/Measure-8                     0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Float64/Cumulative/100/Measure-8              0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Histogram/Float64/Delta/100/Measure-8                   0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Int64/Cumulative/100/Measure-8                      0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Int64/Delta/100/Measure-8                           0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Float64/Cumulative/100/Measure-8                    0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
Sum/Float64/Delta/100/Measure-8                         0.000 ± 0%     0.000 ± 0%       ~ (p=1.000 n=10) ¹
geomean                                                            ²               +0.00%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean

@MrAlias
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MrAlias commented Dec 15, 2023 •
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what the effect might be on the eventual default config (e.g., large enough that all attributes will fit)

The default is defined to be 2000: https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/sdk.md#configuration-1

I'm not aware of any objective data validating this number, but it is something we will adopt from the specification.

The current PR does not use this default. The current default is unlimited as the feature is disabled by default.

@MrAlias MrAlias merged commit e3bf787 into open-telemetry:main Dec 19, 2023
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@MrAlias MrAlias deleted the cardinality-limit-x branch December 19, 2023 15:53
@MrAlias MrAlias mentioned this pull request Dec 19, 2023
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@MrAlias MrAlias added this to the v1.22.0 milestone Jan 11, 2024
@MadVikingGod MadVikingGod mentioned this pull request Jan 11, 2024
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@utpilla utpilla mentioned this pull request Feb 26, 2024
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